Senior Snowflake Data Engineer

Job Title: Senior Data Engineer (Snowflake)
Location: Bridgewater, NJ (Hybrid)
Type: Long-Term Contract
Job Description:
We are seeking a highly skilled Senior Data Engineer with expertise in Snowflake and data pipeline development for a long-term contract opportunity based in Bridgewater, NJ. The ideal candidate will have a proven track record of building and maintaining scalable data pipelines, leveraging Snowflake as the primary data warehouse, and delivering high-quality data solutions that enable business intelligence, analytics, and data-driven decision-making.
Key Responsibilities:

• Design, develop, and maintain robust, scalable, and high-performance data pipelines using Snowflake.
• Collaborate with cross-functional teams to gather data requirements and deliver data solutions that meet business needs.
• Implement best practices for data modeling and data pipeline optimization in Snowflake.
• Build and manage data integration processes to ingest data from multiple sources into Snowflake.
• Perform data quality checks and ensure that data pipelines are reliable, accurate, and consistent.
• Develop automated processes for monitoring and troubleshooting data pipeline issues.
• Optimize and tune the performance of Snowflake queries and data pipelines.
• Work closely with data analysts, data scientists, and business stakeholders to support their data requirements.
• Participate in code reviews, maintain high standards of code quality, and provide mentorship to junior data engineers.
• Stay up-to-date with the latest trends and best practices in cloud data engineering and Snowflake development.

Required Skills & Qualifications:

• Strong hands-on experience with Snowflake, including data loading, schema design, performance tuning, and query optimization.
• Proven experience with designing, developing, and optimizing ETL processes and data pipelines.
• In-depth knowledge of SQL and experience with scripting languages such as Python, Java, or Scala.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, particularly in relation to data storage and processing services.
• Experience working with data orchestration tools (e.g., Apache Airflow, dbt) for building, scheduling, and monitoring data pipelines.
• Solid understanding of data warehousing concepts, data modeling, and data transformation.
• Ability to work with large-scale data sets and perform data analysis for optimization.
• Strong problem-solving skills and the ability to troubleshoot complex data issues.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• Master’s/Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).